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Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
Transana lets the user analyze and manage your data, transcribe it, identify analytically interesting clips, assign keywords to clips, arrange and rearrange clips, create complex collections of interrelecris en français fdp ated clips, explore relationships between applied keywords, and share your analysis with colleagues.
Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]
pyannote.audio (last repository update: August 2022, last release: July 2022, version: 2.0): pyannote.audio is an open-source toolkit written in Python for speaker diarization. [4] . pyAudioAnalysis (last repository update: September 2022): Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications [5]
Dataset HF card, and project's GitHub repository. [394] Diggelmann et al. Climate News dataset A dataset for NLP and climate change media researchers The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [395] ADGEfficiency Climatext
To run, the Julius recognizer needs a language model and an acoustic model for each language.. Julius adopts acoustic models in Hidden Markov Model Toolkit ASCII format, pronunciation dictionary in HTK-like format, and word 3-gram language models in ARPA standard format: forward 2-gram and reverse 3-gram as trained from speech corpus with reversed word order.
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
Transcription software, as with transcription services, is often used for business, legal, or medical purposes. [2] Compared with audio content, a text transcript is searchable, takes up less computer memory, and can be used as an alternate method of communication, such as for subtitles and closed captions.